Efficient recognition and control system for weak signals based on brain-computer intelligence
Based on neuroscience and cognitive science,this system utilizes brain-computer interface technology to analyze,decode and characterize physiological electrical information such as EEG.It establishes a mapping relationship between EEG and weak signal targets,further explores the deep connection between human brain intelligence and machine intelligence,integrates the advantages of the human brain's super environmental perception,information integration,rapid decision-making,and the capabilities of the computer's large-capacity storage,fast calculation,precise execution,etc.The system establishes a human-centered,human-computer hybrid system with collaborative perception,decision-making,and execution,breaking through the traditional intelligent brain-computer hybrid intelligent system.It realizes efficient recognition and control of weak signal targets,providing technical support for brain-computer interface technology in improving unmanned system performance and control strategies,and laying technical reserves for human-computer interaction,human-computer collaboration,and human-computer integration.
brain-computer intelligencehuman-computer hybrid intelligenceefficient recognition and control